Monday, October 27, 2025
Dativa AI

Full Stack Developer (Agentic AI)

Posted: 2 days ago

Job Description

About Dativa AIDativa AI is building next-generation Agentic AI systems that combine autonomy, reasoning, and data intelligence to empower enterprise decision-making. We are a fast-moving AI startup working at the intersection of AI agents, data orchestration, and enterprise automation.We’re looking for a Full Stack Developer who is passionate about AI-driven systems, enjoys solving complex engineering problems, and wants to play a key role in shaping scalable, intelligent software solutions.ResponsibilitiesDesign, develop, and maintain full-stack web applications integrated with Agentic AI models and APIs.Collaborate with AI engineers and product teams to build intelligent automation features.Develop modular, scalable front-end and back-end architectures.Implement integrations with vector databases, LLM orchestration frameworks (e.g., LangChain, LlamaIndex), or internal agent frameworks.Contribute to system architecture, DevOps pipelines, and performance optimization.Participate in code reviews, mentorship, and technical design discussions.Requirements3+ years of professional experience in full-stack development.Strong proficiency in TypeScript / JavaScript, Python, and modern frameworks (e.g., React, Next.js, Node.js, FastAPI, or Django).Experience with RESTful and GraphQL APIs.Familiarity with LLMs, AI agents, or autonomous system frameworks (e.g., LangChain, CrewAI, AutoGen, or similar).Good understanding of cloud infrastructure (AWS, GCP, or Azure) and CI/CD pipelines.Solid experience with databases (SQL/NoSQL) and data pipelines.Excellent problem-solving and communication skills.Fluent in English (written and spoken).Nice to HaveHands-on experience with AI agent frameworks or LLM integrations.Background in AI orchestration, retrieval-augmented generation (RAG), or knowledge graph systems.Prior startup or fast-paced product development experience.Familiarity with containerization (Docker, Kubernetes) and MLOps practices.

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